Browsing Faculty of Engineering by Subject "neural networks"
Now showing items 1-2 of 2
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Landmine detection by means of ground penetrating radar: a model-based approach
(SAIEE, 2014)The presence of landmines poses a worldwide humanitarian problem. Often, these mines are difficult to detect with metal detectors. Ground penetrating radar (GPR) is a promising technology for the detection of landmines ... -
Update temperature control for a Claus unit with neural networks
(Gulf Publishing Company, 2013)The Natref Oil Refinery in Sasolburg, South Africa, experienced refractory problems in the combustion chamber of the Sulphur Recovery Unit (SRU) since start-up (Figure 1). Even though the SRU was at all times operated ...